Penerapan Metode Market Basket Analysis Pada Situs Web E-Commerce (Studi Kasus: Dhian Handicraft Indonesia)
Abstrak: In an effort to
increase the volume of sales of a product in an e-commerce, the comfort level
of service to customers is one of the factors that are important and need to be
considered by the management. So, management must make a practical step by
approaching the customer to be aware of how the behavior of customers in the
deal. In this final project regarding creation of personalization systems on
web sites that are used to determine the pattern of customer transactions. This
system is expected to assist the management in managing the customers catalog
layout , so the comfort level of customers satisfied because the system seems
to know their customers better. Naturally, the sale of a product will increase
because customers feel pampered. This final testing of the customer transaction
data e-commerce web sites were calculated using Market Basket Analysis, which
is one of data mining techniques are used to determine the minimum support and
minimum confidence is entered by the management to later mining process so as
to generate association rules from customer transaction data. Association rules
generated are used to build a personalized system for customers and can be
considered for the management to set the location of product catalogs in e-commerce
website and inform them of any unusual items customers purchased through the
transaction history. The conclusion of this thesis is to produce information on
items purchased together in the sales process on Dhian Handicraft Indonesia to
adjustment of a model for future sales.
Penulis: Medina Gemala,
Mochammad Arifin, Ahmad Yanu Aliffianto
Kode Jurnal: jptkomputerdd120248
